384 jobs for “Ai Infrastructure Associate Engineer”
Nebius London
Maintains and scales a DevTools platform running 25k TeamCity builds daily, 100 TB of Artifactory artifacts and a large GitLab monorepo. Splits time evenly between SRE and software engineering, modifying open- and closed-source tools, building plugins and improving fault tolerance. Also experiments with RAG and AI agents.
Nebius London
Ensure fault-tolerance, scale and uninterrupted operations for a full-stack AI cloud platform, using cutting-edge cloud technology to solve infrastructure problems and improving CI/CD processes. Works with Go, Python or C++, Unix systems, networking, and containerization and configuration tooling such as Kubernetes, Helm, Terraform, Docker, Ansible and Salt. Coding interviews are part of the process.
Cloudflare London €89,000 – €122,000 pa
Lead the Egress team building and operating network software infrastructure that connects Cloudflare's products to any destination, spanning data planes and distributed control-plane services. You will hire and mentor a distributed engineering team, partner with Product and engineering leaders on roadmap, and own production reliability, on-call and incident response.
Cloudflare London
Lead a team of engineers building and maintaining Cloudflare's billing, payments, usage metering, aggregation, invoicing and revenue recognition systems, currently being rebuilt as a next-generation platform. The role spans technical execution, architecture for financial accuracy at scale, and mentoring, with close collaboration across product, finance, data science and operations.
Amazon London
Acts as the technical bridge between Amazon Connect customers and service teams, leading engagements to validate contact center architectures and design agentic AI solutions. Involves AI agent creation, prompt engineering, model selection, guardrail configuration and Agent-to-Agent integration, plus thought leadership and field enablement for the wider SA community.
Amazon London
Customer-facing consulting role guiding enterprise clients through cloud and data transformation projects, from assessing organisational readiness to defining goals and roadmaps. Involves analysing on-premises database environments such as Oracle and SQL Server and migrating them to open-source engines like Aurora, Redshift and DynamoDB, while collaborating with AWS engineering teams and supporting pre-sales activities.
Databricks London
Leads a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities in the UKI market, owning team quota and growing platform consumption. Sets territory plans, quotas and patches, drives forecast accuracy and partners cross-functionally on revenue and customer success. Emphasises methodology-based coaching (MEDDPICC, Challenger) and value-based selling to C-suite stakeholders.
Databricks London
Lead a delivery team of 8+ engineers building and productionising data and AI solutions on the Databricks platform for enterprise customers. The role blends hands-on technical oversight of Spark, Python/Scala, cloud (AWS, Azure, GCP), CI/CD and MLOps architectures with professional services delivery metrics, hiring and coaching. Hybrid working in London.
Snowflake London
Lead a regional pre-sales team of Solution Engineers focused on observability, coaching them on discovery, demos and proof-of-concept execution while partnering with Sales Directors on go-to-market plans. Act as executive technical sponsor for strategic enterprise accounts, translating requirements into product feedback and competitive positioning against Datadog, Splunk and Dynatrace. Works cross-functionally with Product, Engineering, Customer Success and Marketing across EMEA.
Experis United Kingdom
Hands-on development role building secure, scalable solutions within a Dynamics 365 Customer Engagement environment, covering plugins, workflows, custom APIs, integrations and platform customisation. The developer also supports Azure-based integration work (Logic Apps, Function Apps, Service Bus) and contributes to ALM, DevOps pipelines and solution design, working independently with technical and non-technical stakeholders.
Snowflake London
Customer-facing technical role partnering with account sales teams and channel partners to run winning sales cycles for the AI Data Cloud. You deliver value-based demos, support enterprise proof of concepts, and bridge business and technical audiences, working hands-on with data warehousing, lakehouse architectures, RAG, LLMs, Python and SQL.
Spectrum IT Recruitment Southampton £50,000 – £60,000 pa
Backend engineering role focused on building APIs and third-party integrations for a logistics platform handling parcel shipments, labelling and tracking at high transaction volumes. The team is modernising legacy services towards TypeScript and Google Cloud, tackling distributed systems challenges like retries, failures and data consistency, and using AI-assisted and agentic development workflows.
Jam Management Consultancy ltd Slough £37,000 – £38,000 pa
Graduate developers join an experienced engineering team to build real, business-critical cloud and AI-enabled software platforms. Day-to-day work covers designing, developing and testing applications mainly in C# and .NET, plus SQL Server, JavaScript, TypeScript and React within an Agile/Scrum environment, with Git for source control and code review. There is also exposure to Docker, Kubernetes and modern application architecture.
Michael Page Technology Birmingham £43,936 pa
Lead discovery, design and delivery of enterprise-wide ServiceNow solutions across HR, IT, customer services, governance and AI-enabled capabilities. Elicit requirements, map processes, define user stories and coordinate UAT, integrating ServiceNow with Planon, Salesforce and Microsoft 365/Azure. Distinct for its UK government context and multi-module ServiceNow scope.
Harnham - Data and Analytics Recruitment London £120,000 – £135,000 pa
Lead a newly formed Data Hub engineering team, owning delivery, technical direction and team development while consolidating fragmented legacy systems into a single governed platform. Combines strategic leadership with hands-on oversight of Snowflake, DBT, SQL and Python, plus Agile and DevOps practices, and shapes the wider data and AI strategy.
